Master IBM SPSS: Data Analysis for Research & Business

What you will learn:

Conduct powerful statistical analyses using IBM SPSS
Import, clean, and transform diverse datasets
Create impactful data visualizations to communicate insights
Master descriptive statistics and inferential tests (t-tests, ANOVA)
Analyze relationships between variables using correlation and regression
Interpret statistical output and communicate findings effectively
Gain practical experience with data manipulation and analysis
Develop data-driven decision-making skills
Understand effect sizes and practical significance
Become proficient in using IBM SPSS for research or business applications

Description

Become a data analysis pro with our IBM SPSS mastery course! This comprehensive program guides you through the entire data analysis process, from importing and cleaning raw data to performing advanced statistical analyses and confidently presenting your results. Whether you're a beginner or have some SPSS experience, you'll learn essential techniques including descriptive statistics, powerful visualizations, correlation analysis, regression modeling, t-tests, ANOVA, and an introduction to multivariate techniques. We emphasize practical application and insightful interpretation of results, focusing on effect sizes and practical significance so you can effectively communicate your findings. Developed by MTF Institute, a global leader in business and technology education, this course is your key to unlocking data-driven decision-making in research and business. Learn from Dr. Alex Amoroso, a seasoned academic and industry expert with a proven track record in research and business leadership. This course equips you with not just the technical skills in SPSS, but the crucial interpretative expertise needed to make data-backed decisions that impact. Enroll today and transform your data into actionable intelligence!

MTF Institute of Management, Technology and Finance, a global leader in education, is partnered with IBM, Intel, and Microsoft. Our research and development (R&D) center focuses on cutting-edge technologies including Artificial Intelligence, Machine Learning, Data Science, and more. We've empowered over 750,000 students worldwide!

Curriculum

Introduction

This introductory section sets the stage for your data analysis journey. The "Introduction" lecture provides an overview of the course and its objectives (1:06). The "Welcome to MTF" lecture introduces you to MTF Institute's global reach and expertise (1:15).

Data Analysis with SPSS

Dive deep into the world of SPSS! You'll begin by familiarizing yourself with the SPSS environment (6:36 and 5:11 for v29). Learn to import data efficiently from various sources (12:19 and 4:53 for v29). Master descriptive statistics to summarize your data (4:00 and 4:42 for v29). Create compelling visuals with graphs and charts (3:58 and 4:05 for v29). Learn essential data transformation techniques to prepare your data for analysis (13:31 and 6:21 for v29). Explore correlations between variables (4:44 and 4:03 for v29). Perform t-tests and ANOVA to compare groups (5:47 and 7:35 for v29), and get an introduction to multivariate analysis (6:54 and 5:47 for v29). Finally, develop crucial skills in interpreting your results, focusing on effect sizes and practical significance (10:55). The concluding lecture summarizes key takeaways (1:14).

Interactive Part

This bonus section offers guidance on your next steps after completing the course (0:07), providing resources and suggestions for continued learning and practical application of your newly acquired SPSS skills.